All Two Terms Ahead Statistics Courses
Fall 2023
This data is offered for your convenience only. The schedule data is updated regularly and may not reflect recent changes to the Schedule of Classes. For full, up-to-date course information please contact the Registrar's office
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STAT 345 - Elements of Math Stat & Prob
An introduction to probability including combinatorics, Bayes' theorem, probability densities, expectation, variance and correlation. An introduction to estimation, confidence intervals and hypothesis testing.
Prerequisite: MATH 1440 or MATH 1522.
| Section | Time/Location | Instructor | Credits | Seats Open | Notes |
|---|
| 002 | T R
1100-1205
| | 3 | 0 | See schedule for designated remote times; log in to course on UNMLearn (and/or platform designated by instructor) for remote meetings at designated times and for completion of course work. No online fee. |
| 003 | T R
1630-1745
Dane Smith Hall 223
| Mohammad Ahmadi | 3 | 0 | |
STAT 427 - Advanced Data Analysis I
Statistical tools for scientific research, including parametric and non-parametric methods for ANOVA and group comparisons, simple linear and multiple linear regression, and basic ideas of experimental design and analysis. Emphasis placed on the use of statistical packages such as Minitab and SAS.
Prerequisite: MATH 1350.
| Section | Time/Location | Instructor | Credits | Seats Open | Notes |
|---|
STAT 434 - Contingency Tables
This course examines the use of log-linear models to analyze count data. It also uses graphical models to examine dependence structures for both count data and measurement data. Prerequisite: **345 and 427.
| Section | Time/Location | Instructor | Credits | Seats Open | Notes |
|---|
STAT 440 - Regression Analysis
Simple regression and multiple regression. Residual analysis and transformations. Matrix approach to general linear models. Model selection procedures, nonlinear least squares, logistic regression. Computer applications. Prerequisite: 427. {Fall}
| Section | Time/Location | Instructor | Credits | Seats Open | Notes |
|---|
| 002 | T R
1230-1345
| Fletcher Christensen | 3 | 7 | Rescheduled from CRN 13679 STAT 440 001. |
STAT 461 - Probability
(Also offered as MATH 441)
Mathematical models for random experiments, random variables, expectation. The common discrete and continuous distributions with application. Joint distributions, conditional probability and expectation, independence. Laws of large numbers and the central limit theorem. Moment generating functions.
Prerequisite: MATH 2531.
| Section | Time/Location | Instructor | Credits | Seats Open | Notes |
|---|
| 001 | T R
1100-1215
| James Degnan | 3 | 9 | See schedule for designated remote times; log in to course on UNMLearn (and/or platform designated by instructor) for remote meetings at designated times and for completion of course work. No online fee. |
STAT 474 - Bio Statistics
A detailed overview of methods commonly used to analyze medical and epidemiological data. Topics include the Kaplan-Meier estimate of the survivor function, models for censored survival data, the Cox proportional hazards model, methods for categorical response data including logistic regression and probit analysis, generalized linear models. Prerequisite: 428 or 440.
| Section | Time/Location | Instructor | Credits | Seats Open | Notes |
|---|
| 001 | T R
1400-1515
| James Degnan | 3 | 33 | |
STAT 479 - T:
Modern topics not covered in regular course offerings.
| Section | Time/Location | Instructor | Credits | Seats Open | Notes |
|---|
STAT 527 - Advanced Data Analysis I
Statistical tools for scientific research, including parametric and non-parametric methods for ANOVA and group comparisons, simple linear and multiple linear regression and basic ideas of experimental design and analysis. Emphasis placed on the use of statistical packages such as Minitab and SAS. Course cannot be counted in the hours needed for graduate degrees in Mathematics and Statistics. Prerequisite: MATH 1350.
| Section | Time/Location | Instructor | Credits | Seats Open | Notes |
|---|
STAT 534 - Contingency Tables
This course examines the use of log-linear models to analyze count data. It also uses graphical models to examine dependence structures for both count data and measurement data. Prerequisite: **345 and 427.
| Section | Time/Location | Instructor | Credits | Seats Open | Notes |
|---|
STAT 540 - Regression Analysis
Simple regression and multiple regression. Residual analysis and transformations. Matrix approach to general linear models. Model selection procedures, nonlinear least squares, logistic regression. Computer applications. Prerequisite: 527. {Fall}
| Section | Time/Location | Instructor | Credits | Seats Open | Notes |
|---|
| 002 | T R
1230-1345
| Fletcher Christensen | 3 | 2 | Rescheduled from CRN 13814 STAT 540 001. |
STAT 546 - Theory of Linear Models
Theory of the Linear Models discussed in 440/540 and 445/545. Linear spaces, matrices, projections, multivariate normal distribution and theory of quadratic forms. Non-full rank models and estimability. Gauss-Markov theorem. Distribution theory for normality assumptions. Hypothesis testing and confidence regions. Prerequisite: 553, 545, linear algebra. {Alternate Falls}
| Section | Time/Location | Instructor | Credits | Seats Open | Notes |
|---|
| 001 | T R
1230-1345
| Ronald Christensen | 3 | 27 | |
STAT 556 - Adv Statistical Inference I
Theory and methods of point estimation, sufficiency and its applications. Prerequisite: 553, 561 and MATH 510. {Alternate Falls}
| Section | Time/Location | Instructor | Credits | Seats Open | Notes |
|---|
STAT 561 - Probability
(Also offered as MATH 441)
Mathematical models for random experiments, random variables, expectation. The common discrete and continuous distributions with application. Joint distributions, conditional probability and expectation, independence. Laws of large numbers and the central limit theorem. Moment generating functions.
Prerequisite: MATH 2531.
| Section | Time/Location | Instructor | Credits | Seats Open | Notes |
|---|
| 001 | T R
1100-1215
| James Degnan | 3 | 6 | See schedule for designated remote times; log in to course on UNMLearn (and/or platform designated by instructor) for remote meetings at designated times and for completion of course work. No online fee. |
STAT 569 - Select Top in Probability Theo
A course exploring a topic not covered by the standard curriculum but of interest to faculty and students in a particular semester.
(Also offered as MATH 549)
| Section | Time/Location | Instructor | Credits | Seats Open | Notes |
|---|
| 001 | T R
1400-1515
| Anna Skripka | 3 | 19 | |
STAT 574 - Bio Statistics
A detailed overview of methods commonly used to analyze medical and epidemiological data. Topics include the Kaplan-Meier estimate of the survivor function, models for censored survival data, the Cox proportional hazards model, methods for categorical response data including logistic regression and probit analysis, generalized linear models. Prerequisite: 528 or 540.
| Section | Time/Location | Instructor | Credits | Seats Open | Notes |
|---|
| 001 | T R
1400-1515
| James Degnan | 3 | 20 | |
STAT 579 - Sel T:
A course exploring a topic not covered by the standard curriculum but of interest to faculty and students in a particular semester.
| Section | Time/Location | Instructor | Credits | Seats Open | Notes |
|---|
| 003 | T R
1100-1215
| Fletcher Christensen | 3 | 14 | |
STAT 595 - Problems
Individual research into an area proposed by the student and conducted under the direction of a faculty member.
| Section | Time/Location | Instructor | Credits | Seats Open | Notes |
|---|
| 001 |
-
| Erik Erhardt | 1 | 8 | Statistics Education Practicum |
| 002 |
-
| Fletcher Christensen | 1 TO 3 | 5 | |
STAT 649 - Sem Probability & Statistics
(Also offered as MATH 649)
Course emphasizes investigation, evaluation, and discussion of areas of specialized knowledge or inquiry relevant to the profession or field of study.
| Section | Time/Location | Instructor | Credits | Seats Open | Notes |
|---|
| 001 | F
1400-1450
Science Math Learning Center 124
| | 1 | 11 | |
